Linux Foundation CKA Examcollection Dumps Torrent, CKA Free Exam
Linux Foundation CKA Examcollection Dumps Torrent, CKA Free Exam
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The CKA Certification is valid for three years, and candidates can renew their certification by retaking the exam or by earning a higher-level certification. Certified Kubernetes Administrator (CKA) Program Exam certification is recognized by industry leaders, including AWS, Google Cloud, and Red Hat. Certified Kubernetes Administrator (CKA) Program Exam certification also provides access to a network of certified professionals and resources, including training, events, and community support. Overall, the CKA certification is an excellent way to demonstrate your expertise in Kubernetes and advance your career in the cloud-native ecosystem.
Objective of CNCF CKA Certification Exam
The CNCF Certified Kubernetes Administrator exam tests knowledge on deploying, managing, and troubleshooting applications on Kubernetes clusters. Software engineers will need to understand key concepts of Kubernetes in order to pass the CNCF Certified Kubernetes Administrator exam. Files and containers running on the cluster will be managed by Kubernetes using its object-store. Understand key features of Kubernetes and how it is a paradigm shift in the way software engineers manage containerized applications. Learning about Kubernetes will be crucial for passing the CNCF Certified Kubernetes Administrator exam. Highly recommended to check out the official study guide. Technical manuals and practice questions can be found on the website. Functional knowledge of Kubernetes is crucial for passing the CNCF Certified Kubernetes Administrator exam.
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Levels of Certification
The CNCF Certified Kubernetes Administrator exam conducts 4 levels of certification covering different areas of Cloud Native Computing. Charges vary by level with the highest level of certification being the only one that is required in order to obtain the CNCF Certified Kubernetes Administrator certification. Subjects to be tested for each level are listed below.Future changes to the certification levels and pricing are possible.
Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q74-Q79):
NEW QUESTION # 74
Score: 4%
Task
Create a persistent volume with name app-data , of capacity 1Gi and access mode ReadOnlyMany. The type of volume is hostPath and its location is /srv/app-data .
Answer:
Explanation:
Solution:
#vi pv.yaml
apiVersion: v1
kind: PersistentVolume
metadata:
name: app-config
spec:
capacity:
storage: 1Gi
accessModes:
- ReadOnlyMany
hostPath:
path: /srv/app-config
#
kubectl create -f pv.yaml
NEW QUESTION # 75
Create a persistent volume with name app-data, of capacity 2Gi and access mode ReadWriteMany. The type of volume is hostPath and its location is /srv/app-data.
Answer:
Explanation:
See the solution below.
Explanation
solution
Persistent Volume
A persistent volume is a piece of storage in a Kubernetes cluster. PersistentVolumes are a cluster-level resource like nodes, which don't belong to any namespace. It is provisioned by the administrator and has a particular file size. This way, a developer deploying their app on Kubernetes need not know the underlying infrastructure. When the developer needs a certain amount of persistent storage for their application, the system administrator configures the cluster so that they consume the PersistentVolume provisioned in an easy way.
Creating Persistent Volume
kind: PersistentVolumeapiVersion: v1metadata: name: spec: capacity: # defines the capacity of PV we are creating storage: 2Gi #the amount of storage we are tying to claim accessModes: # defines the rights of the volume we are creating - ReadWriteMany " # path to which we are creating the volume Challenge Create a Persistent Volume named ReadWriteMany, storage classname shared, 2Gi of storage capacity and the host path
2. Save the file and create the persistent volume.
Image for post
3. View the persistent volume.
Our persistent volume status is available meaning it is available and it has not been mounted yet. This status will change when we mount the persistentVolume to a persistentVolumeClaim.
PersistentVolumeClaim
In a real ecosystem, a system admin will create the PersistentVolume then a developer will create a PersistentVolumeClaim which will be referenced in a pod. A PersistentVolumeClaim is created by specifying the minimum size and the access mode they require from the persistentVolume.
Challenge
Create a Persistent Volume Claim that requests the Persistent Volume we had created above. The claim should request 2Gi. Ensure that the Persistent Volume Claim has the same storageClassName as the persistentVolume you had previously created.
kind: PersistentVolumeapiVersion: v1metadata: name:
spec:
accessModes: - ReadWriteMany
requests: storage: 2Gi
storageClassName: shared
2. Save and create the pvc
njerry191@cloudshell:~ (extreme-clone-2654111)$ kubect1 create -f app-data.yaml persistentvolumeclaim/app-data created
3. View the pvc
Image for post
4. Let's see what has changed in the pv we had initially created.
Image for post
Our status has now changed from available to bound.
5. Create a new pod named myapp with image nginx that will be used to Mount the Persistent Volume Claim with the path /var/app/config.
Mounting a Claim
apiVersion: v1kind: Podmetadata: creationTimestamp: null name: app-dataspec: volumes: - name:congigpvc persistenVolumeClaim: claimName: app-data containers: - image: nginx name: app volumeMounts: - mountPath: "/srv/app-data " name: configpvc
NEW QUESTION # 76
List "nginx-dev" and "nginx-prod" pod and delete those pods
Answer:
Explanation:
kubect1 get pods -o wide
kubectl delete po "nginx-dev" kubectl delete po "nginx-prod"
NEW QUESTION # 77
You must connect to the correct host.
Failure to do so may result in a zero score.
[candidate@base] $ ssh Cka000056
Task
Review and apply the appropriate NetworkPolicy from the provided YAML samples.
Ensure that the chosen NetworkPolicy is not overly permissive, but allows communication between the frontend and backend Deployments, which run in the frontend and backend namespaces respectively.
First, analyze the frontend and backend Deployments to determine the specific requirements for the NetworkPolicy that needs to be applied.
Next, examine the NetworkPolicy YAML samples located in the ~/netpol folder.
Failure to comply may result in a reduced score.
Do not delete or modify the provided samples. Only apply one of them.
Finally, apply the NetworkPolicy that enables communication between the frontend and backend Deployments, without being overly permissive.
Answer:
Explanation:
Task Summary
* Connect to host cka000056
* Review existing frontend and backend Deployments
* Choose one correct NetworkPolicy from the ~/netpol directory
* The policy must:
* Allow traffic only from the frontend Deployment to the backend Deployment
* Avoid being overly permissive
* Apply the correct NetworkPolicy without modifying any sample files
Step-by-Step Instructions
Step 1: SSH into the correct node
ssh cka000056
Step 2: Inspect the frontend Deployment
Check the labels used in the frontend Deployment:
kubectl get deployment -n frontend -o yaml
Look under metadata.labels or spec.template.metadata.labels. Note the app or similar label (e.g., app:
frontend).
Step 3: Inspect the backend Deployment
kubectl get deployment -n backend -o yaml
Again, find the labels assigned to the pods (e.g., app: backend).
Step 4: List and review the provided NetworkPolicies
List the available files:
ls ~/netpol
Check the contents of each policy file:
cat ~/netpol/<file-name>.yaml
Look for a policy that:
* Has kind: NetworkPolicy
* Applies to the backend namespace
* Uses a podSelector that matches the backend pods
* Includes an ingress.from rule that references the frontend namespace using a namespaceSelector (and optionally a podSelector)
* Does not allow traffic from all namespaces or all pods
Here's what to look for in a good match:
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: allow-frontend-to-backend
namespace: backend
spec:
podSelector:
matchLabels:
app: backend
ingress:
- from:
- namespaceSelector:
matchLabels:
name: frontend
Even better if the policy includes:
- namespaceSelector:
matchLabels:
name: frontend
podSelector:
matchLabels:
app: frontend
This limits access to pods in the frontend namespace with a specific label.
Step 5: Apply the correct NetworkPolicy
Once you've identified the best match, apply it:
kubectl apply -f ~/netpol/<chosen-file>.yaml
Apply only one file. Do not alter or delete any existing sample.
ssh cka000056
kubectl get deployment -n frontend -o yaml
kubectl get deployment -n backend -o yaml
ls ~/netpol
cat ~/netpol/*.yaml # Review carefully
kubectl apply -f ~/netpol/<chosen-file>.yaml
Command Summary
ssh cka000056
kubectl get deployment -n frontend -o yaml
kubectl get deployment -n backend -o yaml
ls ~/netpol
cat ~/netpol/*.yaml # Review carefully
kubectl apply -f ~/netpol/<chosen-file>.yaml
NEW QUESTION # 78
You are tasked with setting up fine-grained access control for a Kubernetes cluster running a microservices application. You need to ensure that developers can only access the resources related to their specific microservices while preventing them from accessing or modifying other services' resources. Define RBAC roles and permissions to achieve this, including details of the resources, verbs, and namespaces involved. Consider the following:
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Specify the YAML configurations for roles, role bindings, and service accounts to enable the required access control, ensuring developers only have access to their respective microservice's resources within their assigned namespaces. Solution (Step by Step) : 1. Define Roles:
2. Create Service Accounts: apiVersion: vl kind: ServiceAccount metadata: name: order-service-sa namespace: order-service-ns -- apiVersion: vl kind: ServiceAccount metadata: name: payment-service-sa namespace: payment-service-ns -- apiVersion: vl kind: ServiceAccount metadata: name: inventory-service-sa namespace: inventory-service-ns 3. Bind Roles to Service Accounts: -- apiVersion: rbac.authorization.k8s.io/v1 kind: RoleBinding metadata: name: order-service-dev-binding namespace: order-service-ns roleRef: apiGroup: rbac.authorization.k8s.io kind: Role name: order-service-dev subjects: - kind: ServiceAccount name: order-service-sa namespace: order-service-ns -- apiVersion: rbac.authorization.k8s.io/v1 kind: RoleBinding metadata: name: payment-service-dev-binding namespace: payment-service-ns roleRef: apiGroup: rbac.authorization.k8s.io kind: Role name: payment-service-dev subjects: - kind: ServiceAccount name: payment-service-sa namespace: payment-service-ns -- apiVersion: rbac.authorization.k8s.io/v1 kind: RoleBinding metadata: name: inventory-service-dev-binding namespace: inventory-service-ns roleRef: apiGroup: rbac.authorization.k8s.io kind: Role name: inventory-service-dev subjects: - kind: ServiceAccount name: inventory-service-sa namespace: inventory-service-ns 4. Assign Service Accounts to Users: This step requires external authentication mechanisms like OIDC or LDAP. Assuming you have these mechanisms set up, you can associate the service accounts with specific users ('[email protected]' , '[email protected]', and '[email protected]') using the configured authentication provider. Roles: Define the specific permissions for each microservice developer within their respective namespaces. The roles allow developers to access resources like Pods, Deployments, Services, ConfigMaps, and Secrets related to their assigned microservice. Service Accounts: Service accounts are created in each namespace for each microservice, representing the identity of the developer group. Role Bindings: Role bindings connect the defined roles with the service accounts, granting the associated permissions. User Association: This step connects the service accounts with individual developers through external authentication mechanisms, enabling them to utilize the assigned permissions. By following these steps, you ensure that developers can only access and manage resources associated with their respective microservices within their assigned namespaces. This fine-grained access control policy effectively restricts access and prevents developers from interfering with other microservices or resources. ,
NEW QUESTION # 79
......
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